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TEXT TO QUANT

Claude connectorPartner — verified

Backtest trading strategies written in plain English on real market data, with graded, honesty flagged reports.

View in Claude directory

TextToQuant turns a plain English trading idea into a real backtest on real market data. Describe a strategy in words asset, timeframe, entry and exit rules, stops and targets and it parses it into exact rules, runs the backtest, and returns a graded report with honesty flags (zero fees, missing stops, thin sample) so a result is never over-trusted.

What you can do from Claude:

  • Run and rerun backtests across crypto, forex and equities, then see the full report: price chart with trade markers, equity and drawdown, trade ledger, Monte Carlo and the metrics board.
  • Stress test a strategy: parameter sweeps, walk-forward tests, multi-asset checks and an overfitting verdict (Deflated Sharpe, PBO).
  • See where the edge lives: performance by market regime and by indicator context.
  • Compare strategy variants side by side and build shared-capital multi-asset portfolios.
  • Author custom indicators in Pine Script, JavaScript or Python and use them in strategies.
  • Scan the crypto market, set alerts, export a strategy to Pine Script, and share any run as a public interactive report.

Research and education only: nothing is traded and nothing is sold inside Claude. Runs bill from the same plan and credits as your TextToQuant account.

Tools
77

exposed by this connector

Movement

From our daily snapshots over the last 30 days.

Rank by popularity

#404of 8,9532places up24h10places up7d
#152#910#1,668#2,426Oct 6Oct 12Oct 18Oct 24Oct 30Nov 4

Rank by trending score

#269of 3,55160places down24h224places down7d
#1#206#411#616Oct 6Oct 12Oct 18Oct 24Oct 30Nov 4

Popularity score

14,272+2224h+2167d
3,7436,6159,48712,359Oct 6Oct 12Oct 18Oct 24Oct 30Nov 4

Trending score

45,714−7,84424h−116,0897d
04,496,2298,992,45813,488,687Oct 6Oct 12Oct 18Oct 24Oct 30Nov 4

In its categories

How this connector compares with others in the same category. Positions are counted within the category, not across the whole directory.

Financial services58th of 1,227 by popularity · 43rd of 531 by trending score
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All 1,250 Financial services connectors

Data analytics66th of 3,282 by popularity · 87th of 1,426 by trending score
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Developer tools46th of 1,608 by popularity · 48th of 623 by trending score
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All 1,632 Developer tools connectors

Productivity213th of 4,952 by popularity · 154th of 1,913 by trending score
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All 5,028 Productivity connectors

Screenshots

  • TEXT TO QUANT screenshot
  • TEXT TO QUANT screenshot
  • TEXT TO QUANT screenshot
  • TEXT TO QUANT screenshot
  • TEXT TO QUANT screenshot

Example prompts

  • “Show my BTCUSDT 1d breakout backtest”
  • “Show the equity curve and drawdown for this run”
  • “How does the Monte Carlo look for this strategy?”
  • “Which market regimes does this strategy make its money in?”
  • “Is this strategy overfit?”

Install

Add TextToQuant as an MCP connector on a Messages API request (beta header anthropic-beta: mcp-client-2025-04-04):

"mcp_servers": [{
  "type": "url",
  "name": "texttoquant",
  "url": "https://www.texttoquant.com/api/mcp",
  "authorization_token": "<OAuth access token obtained from the TextToQuant authorization server>"
}]

Docs and the OAuth flow: https://docs.texttoquant.com/api/mcp

Tools

  • analyze_conditions
  • cancel_backtest
  • cancel_portfolio_sweep
  • compare_backtests
  • create_scan_alert
  • custom_benchmark
  • delete_indicator
  • delete_scan_alert
  • describe_capabilities
  • diff_iterations
  • edit_backtest
  • explain_grade
  • explain_parse
  • export_pine
  • filter_by_context
  • get_analysis
  • get_backtest
  • get_backtest_data
Show all 77
  • get_candles
  • get_context_trades
  • get_indicator
  • get_indicator_preview
  • get_iterations
  • get_notification_channels
  • get_overfit_verdict
  • get_plans
  • get_portfolio
  • get_portfolio_analysis
  • get_portfolio_sweep
  • get_profiler
  • get_regime_edge
  • get_usage
  • lint_indicator
  • list_backtests
  • list_context_dimensions
  • list_examples
  • list_indicators
  • list_markets
  • list_portfolios
  • list_scan_alerts
  • manage_webhooks
  • market_regime
  • market_sectors
  • organize_history
  • parse_portfolio
  • parse_strategy
  • preview_indicator
  • preview_js_indicator
  • preview_py_indicator
  • publish_to_gallery
  • refine_context
  • rephrase_strategy
  • rsps_matrix
  • run_backtest
  • run_portfolio
  • run_portfolio_sweep
  • run_profiler
  • save_csv_indicator
  • save_js_indicator
  • save_pine_indicator
  • save_py_indicator
  • saved_scans
  • scan_market
  • share_backtest
  • share_portfolio
  • show_analysis
  • show_backtest
  • show_context
  • show_portfolio
  • start_analysis
  • token_multitf
  • token_stats
  • update_scan_alert
  • validate_indicator
  • validate_js_indicator
  • validate_py_indicator
  • workspace_summary

Prompts

  • backtest_idea
  • review_last_backtest
  • robustness_check
  • improve_strategy
  • market_brief
  • portfolio_checkup
  • overfit_audit
  • explain_this_result
  • ship_to_tradingview
Categories
Made by
Spekule · Website
Sign-in
Required
Connector URL
https://www.texttoquant.com/api/mcp
Transport
Streamable HTTP
Permissions
Reads and runs backtests, analyses, portfolios, custom indicators and market scans in the user's own TextToQuant account. Running a backtest, sweep or portfolio uses the account's plan credits. It never places trades, accesses brokerage or exchange accounts, or reads anything outside the user's TextToQuant workspace.
Works with
Claude, Claude API, Claude Code, Claude Desktop
Added
September 12, 2026
More info
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